HN

Comments (34)

• swyx
  related comments from Shazamers- OG shazam paper https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf (he has a talk on youtube btw look it up if really care)- https://news.ycombinator.com/item?id=18069968 shazam employee blogpost- https://news.ycombinator.com/item?id=38538996 shazam cofounder endorsed explainer- go algo repro https://news.ycombinator.com/item?id=41127726as with all ML things... the code is much less % of the value than the data...
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  thakoppno
  Perhaps obviously this is the same technique that enables ACR on TVs.It occurs to me that Shazam has such a better reputation online because the intent and consent of the user is honored.It makes me wonder if there couldn’t be an implementation on TVs that is similar and actually is a net positive for consumers. Basically would customers actually like TV ACR if the data wasn’t just going to sell more ads?
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  larodi
  There's an algo called dynamic time warping (DTW) and is very often overlooked. My wild guess would be is at play @Shazam.
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  sandos
  Well, my latest guess is: not at all.It has been working "fine" for me generally for popular music. But then I was at a ice skating competition where there were some really nice synth:y music going on in the pauses, and I used Shazam on several of the songs, and I tried several times on each. It did not find a single one correctly.Either this was unreleased music or very small niched music or something, or Shazam totally failed?
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  Animats
  Recognizing a recording isn't hard to do, because, for the same recording, the chords follow each other with precisely repeatable timing. That's been around for well over a decade. Recognizing a different recording, say, a, cover version, of the same song, is much more work.Audible Magic claims to be able to recognize multiple performances of the same songs, and even parodies.[1] Using, of course, "AI technology" and much more compute.[1] https://www.audiblemagic.com/2024/02/07/identifying-cover-so...
• wrxd
  Tangential. This is a cool website, so cool that I tried to subscribe to it in my RSS reader… and it didn’t work.If any of the authors read this message, please consider adding a RSS feed and you’ve got a subscriber!
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  gnabgib
  Again? Oh I see.. SCP (this domain is sus)From CameronMacLeod (2022) - and much more complete analysis (587 points, 2023, 155 comments) https://news.ycombinator.com/item?id=38531428Or Slate (2009) (50 points, 16 comments) https://news.ycombinator.com/item?id=893353
• rmnclmnt
  Might be the best visual explainer of Shazam original audio fingerprinting algorithm from the 2003 paper (I guess they´ve switched to ML models at some point?)
• dataviz1000
  Add to my list of projects. Dinosaur game but with audible clucks to jump.
• cellular
  I did this for a science project in 1986 on an Apple ][c computer !
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  G_o_D
  Out of curiosity is it possible to prevent shazam like app from detecting maybe by adding noise or any technique ?
• krishna_dam
  Surprised to see how that got it worked with out all the "AI" bluff
• flyuk
  Nice article - enjoyed reading!
• blackjackfoe
  No "AI" required!
• SilverElfin
  I feel like it does not work well. Shazam struggles to recognize music in real life environments that have some background noise, even with a lot of time. It’s much worse than the built in music recognition Google’s phones have, for example.
• wood_spirit
  Reminds me of Roy Van Rijn’s prototype that got a cease and desist letter! Lots of community disappointment at the time!https://hn.algolia.com/?q=royvanrijn
• dackdel
  voodoo
• yawpitch
  This has been explained so many times… a wizard imbued the kid with the powers of Solomon, Hercules, Atlas, Zeus, Achilles, and Mercury.